This quiz will test your knowledge of key concepts in data visualization and data science. You will be asked questions about visualization best practices, different chart types, and commonly used Python libraries like Matplotlib, Seaborn and Plotly.

The number of attempts remaining is 5

1 / 30

What library is used in Python for interactive web-based data visualization?

A) Seaborn

B) Bokeh

C) Matplotlib

D) Plotly

2 / 30

Which library in Python is primarily used for plotting data?

A) matplotlib

B) numpy

C) pandas

D) scipy

3 / 30

Which function in pandas is used to plot data directly from a DataFrame?

A) df.visualize()

B) df.draw()

C) df.graph()

D) df.plot()

4 / 30

Which function is used to create a histogram in Matplotlib?

A) plt.plot_hist()

B) plt.histogram()

C) plt.draw_hist()

D) plt.hist()

5 / 30

What type of chart is best for showing proportions within a whole?

A) Bar chart

B) Line chart

C) Scatter plot

D) Pie chart

6 / 30

How do you add a legend to a Plotly figure?

A) legend=True

B) add_legend()

C) layout.legend.showlegend=True

D) show_legend()

7 / 30

Which color palette is used by default in seaborn plots?

A) default

B) predefined

C) plt.colors()

D) 'muted'

8 / 30

Which Excel function creates a pivot table?

A) =ANALYZE()

B) =TRANSPOSE()

C) =SUMMARY()

D) =PIVOT()

9 / 30

Which attribute sets the plot title in Plotly?

A) name

B) set_title

C) title

D) plot_title

10 / 30

Which parameter controls the legend location in matplotlib?

A) legend_loc

B) location

C) loc

D) legendposition

11 / 30

Which parameter controls the size of markers in a matplotlib scatter plot?

A) s

B) marker_size

C) size

D) plot_size

12 / 30

How do you change the number of bins in a Matplotlib histogram?

A) n_bins=10

B) bins=10

C) set_bins(10)

D) plt.hist(bins=10)

13 / 30

How do you add a grid to a matplotlib plot?

A) plt.gridlines(True)

B) plt.set_grid(True)

C) plt.grid(True)

D) plt.add_grid(True)

14 / 30

Which function in seaborn is used to draw a pair plot?

A) sns.draw_pair()

B) sns.plot_pair()

C) sns.pair()

D) sns.pairplot()

15 / 30

Which layout attribute sets grid line properties?

A) set_grid

B) layout.grid

C) gridlines

D) xaxis_grid

16 / 30

What principle states that graphs should maximizeink ratio (data-to-ink ratio)?

A) Lie Factor principle

B) Visual hierarchy principle

C) Tufte's data-ink maximization principle

D) Chartjunk principle

17 / 30

Which function in matplotlib is used to create a scatter plot?

A) plt.scatter()

B) plt.scatter_plot()

C) plt.plot_scatter()

D) plt.draw_scatter()

18 / 30

What is facetting in data visualization?

A) Relabeling the axes and legends

B) Combining multiple plots into subplots

C) Scaling the plot for different devices

D) Dividing the plot area into panels to show subsets of data

19 / 30

What type of visualization shows relationships between data clusters?

A) Tree map

B) Heatmap

C) Choropleth map

D) Scatter plot matrix

20 / 30

What type of object is returned when a Plotly figure is created?

A) Figure

B) Plot

C) Layout

D) GraphObject

21 / 30

Which function is used to create a scatter plot in Plotly?

A) go.Scatter()

B) scatter_plot()

C) plot.scatter()

D) plotly.graph_objects.Scatter()

22 / 30

What is the purpose of a boxplot in data visualization?

A) To plot time series data

B) To visualize the distribution of quantitative data across categories

C) To create 3D plots

D) To show relationships between categorical variables

23 / 30

How do you set the title of a plot in matplotlib?

A) plt.heading('Title')

B) plt.caption('Title')

C) plt.set_title('Title')

D) plt.title('Title')

24 / 30

What is whitespace (white space) in data visualization?

A) Empty areas of the page or slide that separate individual graphics or groups of information

B) The margins around the page

C) The background color of the plot

D) The spacing between text characters

25 / 30

How do you display a Plotly figure inline in a Jupyter notebook?

A) plot(fig)- Displays inline

B) fig.show() - Displays inline by default in Jupyter

C) show_inline(fig)

D) fig.display()

26 / 30

How do you add a legend to a Matplotlib plot?

A) legend()

B) plt.legend()

C) plt.add_legend()

D) add_legend()

27 / 30

How do you set the x-axis label in a matplotlib plot?

A) label_x('x-axis')

B) set_xlabel('x-axis')

C) plt.xlabel('x-axis')

D) x_label('x-axis')

28 / 30

Which Plotly class is used to create bar charts?

A) plotly.graph_objects.Bar()

B) bar_plot()

C) go.Bar()

D) BarChart()

29 / 30

What is a pivot table in data visualization?

A) A tool for rearranging and summarizing data

B) A deep learning model for processing images

C) A chart type to visualize time series data

D) A map to overlay data on geographic locations

30 / 30

Which seaborn function is used to draw a bar plot?

A) sns.plot_bar()

B) sns.draw_bar()

C) sns.barplot()

D) sns.bar()

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